Senior Data Scientist – Decision Science (Hybrid opportunity)

Requirements

• Translate business problems in a variety of business areas into well-defined data science projects, ensuring alignment with business goals, scope, and defined KPIs.
• Design, implement, and optimize advanced machine learning and optimization models to address complex business challenges.
• Collaborate with cross-functional teams, including engineering, data, and business stakeholders, ensuring clear communication, seamless integration of data-driven solutions.
• Monitor model performance in production, refining algorithms and processes to adapt to real-world data and evolving business needs.
• Create and maintain detailed documentation for models, methodologies, and workflows to support team knowledge-sharing.
• Conduct testing and validation of models to ensure robustness, scalability, and reliability in production environments.
• Present data-driven insights, findings, and product outcomes to stakeholders in a clear, actionable manner.
• Stay updated on the latest advancements in machine learning and optimization, integrating innovative techniques and tools into projects.
• Mentor junior data scientists by providing technical guidance, reviewing work, and fostering their professional development.
• Demonstrate a commitment to ethical data science, ensuring Hyatt’s models and solutions are developed with fairness, transparency, and integrity.

Benefits

• Annual allotment of free hotel stays at Hyatt hotels globally
• Paid Time Off
• Medical
• Flexible work schedule